2023 Schedule

A goal of any asset management program is to prevent equipment failure and downtime. A powerful component toward achieving this objective lies in asset data analytics: applying analytics to data from the assets and using the resultant insights to inform educated, cost-effective, and efficient maintenance protocols. One highly effective way to do this is by tracking anomalies. Inspections make up only a portion of what needs to be done to move to predictive maintenance. From there, the completed inspections should be broken apart where each finding (anomaly) should be tracked separately. This helps not only to determine the schedule for mitigation, but also to determine the nature and cause of the issues. Asset management systems make it possible to track anomalies and manage asset lifecycles more effectively, thereby helping companies keep track of fixed assets and create reliability programs that are operating with compliance excellence. This presentation will examine a case study conducted by a petrochemical operator on the techniques for gleaning intelligent analytics from asset data; how to translate those analytics into smart maintenance planning; and the resulting benefits and metrics they experienced. Join this presentation to learn about the power of data analytics; hear real-world examples of how they can be utilized for predictive maintenance planning; and discover how to contribute that knowledge for enhanced reliability at your own facilities.